MacBook Pro (14-inch, 2024)
Geekbench AI Score
5804
Single Precision Score
37456
Half Precision Score
50300
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | leckerli |
| Upload Date | October 25 2025 03:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
17261
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21745
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23697
384.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31829
516.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17444
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122549
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230729
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
20776
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24396
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
44170
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
63274
751.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8804
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109210
841.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176291
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30597
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236671
304.2 IPS |
|
|
Style Transfer (Q)
|
96% |
329241
424.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48791
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78974
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16616
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16443
284.1 IPS |
